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In December 2019, a series of articles and Python tutorials were released to explain how Machine Learning (ML) works and how it should be applied to biomedical data. The goal of the tutorials was to provide readers with a deep understanding of the concepts behind ML and how to make the most of frameworks like TensorFlow or Scikit-learn. This article focuses on the potential of AI to assist in the diagnosis of Alzheimer’s Disease through the use of Magnetic Resonance images.